Artificial intelligence has defeated people in chess and other complex games. But to win at ‘StarCraft,’ computers need to learn to lie. It’s not so much about lying (AIs see this as just another strategy), but it’s exciting to hear that companies have their eyes set on “solving” Starcraft.

Behind the Artificial Intelligence personal assistants and concierges are actual people, reading e-mails and ordering Chipotle. Who is surprised? Customer experience is #1 and most companies will probably never get to the point of fully automated conversation while keeping quality high.

Daniel Lemire, computer science professor at the University of Quebec, talks about where we are with regards to producing human-level intelligence and how the Allen AI challenge is helping us get there.

Is optimization of deep nets difficult? Are our worries about optimization are misplaced when it comes to deep learning? May make you think again about the trade-off between optimization and generalization.

ViZDoom is a Doom-based AI research platform for reinforcement learning from raw visual information. It allows developing AI bots that play Doom using only the screen buffer. Now we finally have an excuse to play Doom. I just wish they had used Counter-Strike.

Generative Choreography using Deep Learning, preprint article for ICCC16. chor-rnn can generate novel choreographic material in the language and style of an individual choreographer. How do you feel when a neural network dances better than you?